Sr Technical Lead-Gen AI

Area(s) of responsibility

Experience: 8+ years | Team Leadership: 2+ years
Primary Tech: Python, GenAI, Agentic AI, LangChain, LangGraph, Azure

Summary

We are seeking a handson AI/ML Lead to drive the architecture, development, and scaling of our enterprise GenAI Platform, with a strong focus on LLM gateway strategy (hosted vs onprem), safety/guardrails, and cost/performance optimization. The ideal candidate has deep experience in Azurebased AI/ML platforms, has led large engineering teams, and demonstrates strong technical leadership in GenAI, agentic systems, Python, and modern orchestration frameworks such as LangChain/LangGraph. This role is suited for a senior technologist who can align strategy, execution, and delivery across complex, endtoend AI/ML lifecycle projects.

Roles & Responsibilities

• Lead design and implementation of an enterprise LLM gateway, including hosted vs. onprem strategy, model routing, fallback, and performance SLAs.
• Architect and deliver agentic AI workflows using LangChain/LangGraph with robust observability, evaluation, and safety controls.
• Own safety and guardrails, including prompt security, PII redaction, content filtering, jailbreak protection, and Responsible AI compliance.
• Implement RAG architectures, vector search, embedding strategy, and grounding with enterprise data.
• Optimize cost and performance: token usage modeling, caching, batching, quantization, GPU utilization, and scaling.
• Oversee endtoend SDLC for AI/ML projects: discovery PoC production monitoring.
• Build and maintain productiongrade systems using Python, FastAPI, CI/CD pipelines, containers, and Azure cloud services.
• Manage and mentor a multidisciplinary engineering team; drive hiring, technical reviews, delivery quality, and execution velocity.
• Partner with Product, Architecture, and Security teams to define roadmap, assess risks, and deliver business value.
• Ensure enterprisegrade security, governance, and compliance across all AI workloads.